As used by ethnomethodologists sequential analysis is the same as conversational analysis. Sequential analysis or conversation analysis is one of three central themes that are the focus of ethnomethodology, the other two being mundane reasoning and membership categorization. Sociologists typically examine talk or conversation, through sequential analysis, as a resource to learn something of people's attitudes, the ways people's lives are structured and how people differ from each other in their values and assumptions. The ethnomethodologist, on the other hand, treats talk or conversation as a topic to learn how ordinary members of society use properties of talk and its sequential properties in order to do things with words.
Sequential analysis has been done on the structure of turn taking, story telling and openings. Conversational analysis is also known as sequential analysis. The three central themes that are the focus of ethnomethodology, are conversational analysis, membership categorization and mundane reasoning.
Sequential Analysis of Deterrrance Games with Declining Status Quo. Carlson, Lisa and Dacey, Raymond. Abstract: We examine the traditional deterrence game between Challenger and Defender under two specific conditions. First, we examine the one-sided incomplete information game where Challenger is uncertain about Defender’s preference ordering. Second, we examine the game under the condition that the status quo is declining.
Sequential Analysis. Abraham Wald. Dover Publications, 2013. Summary: In 1943, while in charge of Columbia University's Statistical Research Group, Abraham Wald devised Sequential Design, an innovative statistical inference system. Because the decision to terminate an experiment is not predetermined, sequential analysis can arrive at a decision much sooner and with substantially fewer observations than equally reliable test procedures based on a predetermined number of observations.
Sequential Analysis
Hypothesis Testing and Changepoint
Detection By Alexander Tartakovsky, Igor Nikiforov, Michele Basseville,
Chapman and Hall.
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential Analysis hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently.
The book treats both conventional i.i.d. and general non-i.i.d. stochastic models in detail, including Markov, hidden Markov, state-space, regression analysis, and autoregression models. Rigorous proofs are given for the most important results.
Sequential Analysis hypothesis testing and sequential quickest changepoint detection in a wide range of engineering and environmental domains. It explains how the theoretical aspects influence the hypothesis testing and changepoint detection problems as well as the design of algorithms.
Sequential Analysis and Observational Methods for the Behavioral Sciences By Roger Bakeman, Vicenç Quera.
Behavioral scientists, including those in psychology, infant and child development, education, animal behavior, marketing and usability studies, use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time.
Sequential Analysis and Observational Methods for the Behavioral Sciences emphasizes digital means to record and code such behavior; while observational methods do not require them, they work better with them. Sequential Analysis and Observational Methods for the Behavioral Sciences provides a thorough grounding in observational methods along with considerable practical advice. Sequential Analysis and Observational Methods for the Behavioral Sciences is rich with examples of coding schemes and different approaches to sequential analysis, including both statistical and graphical means.